Towards an Autonomous Vision-based Inventory Drone

Jesus Pestana Puerta, Michael Maurer, Friedrich Fraundorfer, Horst Bischof

Publikation: KonferenzbeitragPoster


Inventory tracking is a time and cost intensive task in industry. Great expense is dedicated to performing inventory checks. To reduce this effort we present an inventory drone prototype developed to demonstrate the feasibility of vision‑based navigation inside industrial warehouses with highly repetitive visual structure.
In contrast to using LIDAR, we utilize model‑based visual localization against a precomputed map of the environment to estimate and compensate the drift of a commercially available odometry sensor and achieve cm‑accurate navigation. Our experiments showcase the capabilities of our prototype for vision‑based precise indoor navigation and autonomous inventory. All computations are performed on‑board the drone.
PublikationsstatusVeröffentlicht - 22 Mai 2019
VeranstaltungLogistikwerkstatt Graz 2019: Solution day – „update“ - Technische Universität Graz, Graz, Österreich
Dauer: 22 Mai 201922 Mai 2019


KonferenzLogistikwerkstatt Graz 2019
KurztitelLoWe Graz


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